Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

Spare Optimization Based on Renewal Process

Authors
Xiaoli Zou
Corresponding Author
Xiaoli Zou
Available Online July 2015.
DOI
10.2991/lemcs-15.2015.37How to use a DOI?
Keywords
Renewal process; System availability; Spare optimization; Genetic algorithms
Abstract

An optimal model for determining minimum-cost spare number for systems with components connected in series where the failure time of components follow any general distribution is presented. The component availability with a certain number of spares is derived through renewal process theory and the system availability is obtained with system reliability analysis method. The object of the optimization problem is to minimize the total spare cost of the system under the requirement of specified system availability. Genetic algorithms are used to find the optimal amount of spares for each component. Finally, an illustrative example is given.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/lemcs-15.2015.37
ISSN
1951-6851
DOI
10.2991/lemcs-15.2015.37How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaoli Zou
PY  - 2015/07
DA  - 2015/07
TI  - Spare Optimization Based on Renewal Process
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 191
EP  - 193
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.37
DO  - 10.2991/lemcs-15.2015.37
ID  - Zou2015/07
ER  -